Instructions to use OliverHeine/bert-large-uncased_fold_6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OliverHeine/bert-large-uncased_fold_6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="OliverHeine/bert-large-uncased_fold_6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("OliverHeine/bert-large-uncased_fold_6") model = AutoModelForSequenceClassification.from_pretrained("OliverHeine/bert-large-uncased_fold_6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61469e8c0d18e42c600408bccb5a7a72c50e2b75537c136f2ac542bcb2c00d3a
- Size of remote file:
- 5.84 kB
- SHA256:
- 2ff76f834c77b4cdbd04a6b7afc672a03643beff44f07fc747e3894d074187ee
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